Papers
On the Sparsity of Neural Machine Translation Models
Yong Wang, Longyue Wang, Victor Li et al.
On the Sub-layer Functionalities of Transformer Decoder
Yilin Yang, Longyue Wang, Shuming Shi et al.
On the Use of Web Search to Improve Scientific Collections
Krutarth Patel, Cornelia Caragea, Sujatha Das Gollapalli
On the weak link between importance and prunability of attention heads
Aakriti Budhraja, Madhura Pande, Preksha Nema et al.
Open Domain Question Answering based on Text Enhanced Knowledge Graph with Hyperedge Infusion
Jiale Han, Bo Cheng, Xu Wang
Open-Ended Visual Question Answering by Multi-Modal Domain Adaptation
Yiming Xu, Lin Chen, Zhongwei Cheng et al.
OpenIE6: Iterative Grid Labeling and Coordination Analysis for Open Information Extraction
Keshav Kolluru, Vaibhav Adlakha, Samarth Aggarwal et al.
Open Korean Corpora: A Practical Report
Won Ik Cho, Sangwhan Moon, Youngsook Song
Open-Source Morphology for Endangered Mordvinic Languages
Jack Rueter, Mika Hämäläinen, Niko Partanen
OpenUE: An Open Toolkit of Universal Extraction from Text
Ningyu Zhang, Shumin Deng, Zhen Bi et al.
OPPO’s Machine Translation Systems for WMT20
Tingxun Shi, Shiyu Zhao, Xiaopu Li et al.
Optimizing Word Segmentation for Downstream Task
Tatsuya Hiraoka, Sho Takase, Kei Uchiumi et al.
Optimus: Organizing Sentences via Pre-trained Modeling of a Latent Space
Chunyuan Li, Xiang Gao, Yuan Li et al.
OptSLA: an Optimization-Based Approach for Sequential Label Aggregation
Nasim Sabetpour, Adithya Kulkarni, Qi Li
Out-of-Sample Representation Learning for Knowledge Graphs
Marjan Albooyeh, Rishab Goel, Seyed Mehran Kazemi
Overview and Insights from the Shared Tasks at Scholarly Document Processing 2020: CL-SciSumm, LaySumm and LongSumm
Muthu Kumar Chandrasekaran, Guy Feigenblat, Eduard Hovy et al.
Overview of the First Workshop on Scholarly Document Processing (SDP)
Muthu Kumar Chandrasekaran, Guy Feigenblat, Dayne Freitag et al.
Overview of the SustaiNLP 2020 Shared Task
Alex Wang, Thomas Wolf
PALM: Pre-training an Autoencoding&Autoregressive Language Model for Context-conditioned Generation
Bin Bi, Chenliang Li, Chen Wu et al.
PARADE: A New Dataset for Paraphrase Identification Requiring Computer Science Domain Knowledge
Yun He, Zhuoer Wang, Yin Zhang et al.
Parallel Interactive Networks for Multi-Domain Dialogue State Generation
Junfan Chen, Richong Zhang, Yongyi Mao et al.
Paraphrase Generation via Adversarial Penalizations
Gerson Vizcarra, Jose Ochoa-Luna
Paraphrasing vs Coreferring: Two Sides of the Same Coin
Yehudit Meged, Avi Caciularu, Vered Shwartz et al.